Hyperglycemia, hypoglycemia, and glycemic complexity are associated with worse outcomes after surgery
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W.B. Saunders
Abstract
Purpose: The purpose of this study was to determine if glycemic complexity, along with hypoglycemia and hyperglycemia, was associated with worse outcomes after cardiac surgery. Materials and methods: We conducted a retrospective analysis of 970 patients who had insulin infusions designed to keep blood glucose levels between 80 and 110 mg/dL. Glycemic complexity was calculated using jackknifed approximate entropy. Logistic regression was used to adjust for confounders. Results: A total of 495 patients (51%) developed complications, and 32 patients (3.3%) died. Along with older age, comorbidities, and complicated surgeries, any hypoglycemia (glucose <71 mg/dL) and the number of glucose values greater than 140 mg/dL were independent predictors of complications. Increased risk of mortality, after adjusting for other risk factors, was associated with older age, longer perfusion time, receiving intraoperative transfusions, and greater jackknifed approximate entropy of the glucose time series. Conclusion: We found that hypoglycemia (glucose <71 mg/dL) and hyperglycemia (glucose >140 mg/dL) were associated with increased risk of complications, whereas greater complexity of the glucose time series was associated with mortality. © 2014 Elsevier Inc.
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Keywords
Diabetes mellitus, Outcomes, Adult, Age factors, Aged, Blood glucose, Cardiac surgical procedures, Comorbidity, Critical illness, Entropy, Female, Humans, Hyperglycemia, Hypoglycemia, Hypoglycemic agents, Insulin, Logistic models, Male, Middle aged, Retrospective studies, Risk factors, Treatment outcome, Glucose, Antidiabetic agent, Glucose blood level, Age, Article, Blood transfusion, Disease association, Disorders of carbohydrate metabolism, Glycemic control, Heart perfusion, Heart surgery, Human, Insulin treatment, Major clinical study, Outcome assessment, Peroperative care, Postoperative complication, Prognosis, Retrospective study, Risk assessment, Surgical mortality, Treatment duration, Blood, Complication, Drug effects, Metabolism, Risk factor, Statistical model